"We found that, faced with a choice between two low-scoring products, one with many reviews and one with few, the statistics say we should actually go for the product with few reviews, since theres more of a chance its not really so bad," he said.In one online experiment, 132 adult participants looked at a series of phone cases, presented in pairs. The findings, published in the journal PsychologicalScience, indicate that people tend to favor a product that has more reviews, even when it has the same low rating as an alternative product.

A second online experiment that followed the same design and procedure produced similar results. Researchers wanted to see how people would actually use review and rating information when choosing a product.Do you often check user ratings before buying products online? You may be misled into making the wrong choice, a study suggests."Its extremely common for websites and apps to display the average score of a product along with the number of reviews," said Derek Powell of Stanford University.Across various combinations of average rating and number of reviews, participants routinely chose the option with more reviews."We wanted to examine how people use this wealth of information when they make decisions and how they weigh information about other peoples decisions with information about the outcomes of those decisions," said Powell."By examining a large dataset of reviews from China Smart Pet Fountain Factory Amazon."But participants in our studies did just the opposite: They went for the more popular product, despite the fact that they shouldve been even more certain it was of low quality," he added.In other words, real-world data show that a large number of reviews is not a reliable indicator of a products quality.However, scientists suggest that people tend to use this information in ways that can work to their disadvantage.The researchers found that this pattern of results fit closely with a statistical model based on social inference.com, researchers found no relationship between the number of reviews a product had and its average rating.com, we were able to build a statistical model of how people should choose products," said Powell."We found that people were biased toward choosing to purchase more popular products and that this sometimes led them to make very poor decisions," Powell said.

This bias was so strong that they often favoured the more-reviewed phone case even when both of the options had low ratings, effectively choosing the product that was, in statistical terms, more likely to be low quality. When buying products online, people often rely on the ratings and reviews of others to choose. That is, people seem to use the number of reviews as shorthand for a products popularity, independent of the products average rating.. The participants saw an average user rating and total number of reviews for each phone case and indicated which case in each pair they would buy.Looking at actual products available on Amazon.As opportunities to buy products and services online multiply, we have greater access than ever before to huge amounts of first-hand information about users experiences.